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On optimal electric vehicles penetration in a novel Archipelago microgrids

机译:关于新型群岛微电网中电动汽车的最佳渗透率

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Islanded Microgrids (IMG) have attracted much attention in the research and development of the smart grid, which is a large-scale distributed cyber-physical system. To overcome the limitations of the single IMG on energy efficiency and economic, In this paper, we first proposed a novel self-sufficient system, namely “Archipelago microgrid (MG)”, which is comprised of multi-microgrids while disconnected with the utility grid. We formalized the EV (electric vehicle) penetration problem as an optimization mixed integer nonlinear programming, which aims to minimize the emission and operation cost in the system. To enable a reasonable deployment of EV in each MGs, we developed two scheduling schemes, namely Unlimited Coordinated Scheme (UCS) and Limited Coordinated Scheme (LCS), respectively. A decentralized algorithm was also developed to solve the optimization model in LCS. A simulation study based on an modified IEEE-9 bus system with three MGs show that our proposed schemes can reduce both the environmental pollution created by CO2 emission and operation cost. Especially, with the consideration of peak load limits and resident preferences, the LCS scheme can obtain better results than the UCS scheme, leading to the reduction of the environmental pollution by 15.2% raised by CO2 emission, as well as the total cost by 10.8% in the system.
机译:岛上微电网(IMG)在智能电网的研究与开发中引起了很多关注,智能电网是一种大规模的分布式网络物理系统。为了克服单一IMG在能源效率和经济方面的局限性,本文首先提出了一种新颖的自给自足系统,即“ Archipelago微电网(MG)”,该系统由多个微电网组成,但与公用电网断开了连接。 。我们将EV(电动汽车)的渗透问题形式化为优化的混合整数非线性规划,旨在最小化系统中的排放和运营成本。为了在每个MG中合理部署EV,我们分别开发了两种调度方案,即无限协调方案(UCS)和有限协调方案(LCS)。还开发了一种分散算法来求解LCS中的优化模型。基于带有三个MG的改进的IEEE-9总线系统的仿真研究表明,我们提出的方案既可以减少由CO2排放造成的环境污染,又可以减少运营成本。特别是,考虑到峰值负荷限制和居民的喜好,LCS方案可以获得比UCS方案更好的结果,从而导致二氧化碳排放将环境污染降低了15.2%,总成本降低了10.8%。在系统中。

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